Dataset Groups Activity Stream ACDC Challenge Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: Is the problem solved? BibTex: @dataset{O_Bernard_and_A_Lalande_and_C_Zotti_and_F_Cervenansky_and_X_Yang_and_P-A_Heng_and_I_Cetin_and_K_Lekadir_and_O_Camara_and_M_A_G_Ballester_2024, abstract = {Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: Is the problem solved?}, author = {O. Bernard and A. Lalande and C. Zotti and F. Cervenansky and X. Yang and P.-A. Heng and I. Cetin and K. Lekadir and O. Camara and M. A. G. Ballester}, doi = {10.57702/9oqcw89k}, institution = {No Organization}, keyword = {'3D cardiac segmentation', 'Cardiac MRI', 'Deep Learning', 'Image Analysis', 'MICCAI ACDC challenge', 'Medical Image Analysis', 'Segmentation', 'cardiac MRI', 'medical imaging', 'segmentation'}, month = {dec}, publisher = {TIB}, title = {ACDC Challenge}, url = {https://service.tib.eu/ldmservice/dataset/acdc-challenge}, year = {2024} }
